EBPSK Signal Discriminator based on Artificial Neural Network

摘要：

The demodulation scheme based on Artificial Neural Network in EBPSK communication system, proposed in 3, is amended firstly. Furthermore, aiming at the EBPSK signal under various sampling rates, this paper designs the optimum ANN discriminator by synthetically considering multifarious parameters. Finally, robustness of ANN discriminator is researched. Simulation results demonstrate its demodulation performance increases with the growth of sampling rate, and is much superior, especially in low sampling rate, to amplitude integral decision.

关键词： EBPSK Modulation ANN Discriminator Sampling Rate Perceptron Classifier

作者: Jiwu Wang Lei Deng Lenan Wu

作者单位: School of Information Science and Engineering Southeast University Nanjing, Jiangsu, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 237-240

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）